# Cox-regression model: question about acceptability, meaning, & reporting

Apologize for insufficient info in my previous version of this question. So, I am comparing patient survival in a retrospective study between two different groups, using SPSS. Now the difference came significant by KM, so I tried to adjust multiple covariates for confounding effect in a Cox model. I did a backward Wald test by putting main group in block 1 and co-variates in block 2. The output window gave me this:

Case Processing Summary
N   Percent
Cases available in analysis Event   6065    10.3%
Censored    24860   42.1%
Total   30925   52.3%
Cases dropped   Cases with missing values   28189   47.7%
Cases with negative time    0   0.0%
Censored cases before the earliest event in a stratum   0   0.0%
Total   28189   47.7%
Total       59114   100.0%
Dependent Variable: patient survival time (days)

Omnibus Tests of Model Coefficients
-2 Log Likelihood
115511.442 Omnibus Tests of Model Coefficientsi
Step  -2 LL  Overall (score)   Change From Prev Step   Change From Prev Block
Chi-square  df  Sig.    Chi-square  df  Sig.    Chi-square  df  Sig.
1a  113504.047  1998.887    23  .000    2006.433    22  .000    2006.433    22  .000
2b  113504.119  1998.833    21  .000    .072    2   .965    2006.361    20  .000
3c  113504.185  1998.423    19  .000    .066    2   .968    2006.295    18  .000
4d  113504.302  1998.059    17  .000    .118    2   .943    2006.177    16  .000
5e  113506.039  1996.799    15  .000    1.737   2   .420    2004.441    14  .000
6f  113507.146  1986.667    14  .000    1.108   1   .293    2003.333    13  .000
7g  113516.047  1978.462    7   .000    8.900   7   .260    1994.433    6   .000
8h  113518.520  1972.010    6   .000    2.473   1   .116    1991.960    5   .000
aStep 8 TX_MONTHJ   0.011   0.026   0.183   1   0.669   1.011   0.961   1.063
AGE 0.043   0.001   1483.638    1   0   1.044   1.042   1.047
AGE_GROUP   0.701   0.119   34.677  1   0   2.015   1.596   2.544
AGE_DON 0.006   0.001   56.755  1   0   1.006   1.004   1.007
NDIAL2_TRR(1)   0.129   0.041   9.873   1   0.002   1.138   1.05    1.233


I interpret this as saying that no difference was observed, but I'm confused about what to report. Could you also verify if this test looks good with the likelihood ratio so big?